Prints some basic summaries from the MCMC run by run_mcmc.
# S3 method for mcmc_output
print(x, ...)Output from run_mcmc.
Ignored.
In case of IS-corrected MCMC, two-types of standard error and effective sample size estimates are returned. SE-IS (ESS-IS) are based only on importance sampling estimates, with weights corresponding to the block sizes of the jump chain multiplied by the importance correction weights (if IS-corrected method was used). These estimates ignore the possible autocorrelations but provide a lower-bound for the asymptotic standard error. The SE-AR (ESS-AR) estimates are based on the spectral density of \((x-hatx) * w\) where \(hatx\) is the weighted mean of \(x\) and \(w\) contains the weights.